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KMID : 0917520030100010117
Journal of Speech Sciences
2003 Volume.10 No. 1 p.117 ~ p.129
Development of Parameters for Diagnosing Laryngeal Diseases
Kim, Yong Ju
Wang, Soo Geun/Kim, Gi Ryun/Kwon, Soon Bok/Jeon, Kye Rok/Back, Moo Jin/Yang, Byung Gon
Abstract
Many people suffer from various laryngeal diseases. Since we can notice voice change easily, acoustic analysis can be helpful to diagnose the diseases. Several attempts have been made to clarify the relation between the parameters and the state of ssick vocal folds but any decisive parameters are not found yet. The purpose of this study was to select and develop those parameters useful for diagnosing and differentiating laryngeal diseases. We examined eight MDVP parameters, and two additional MFCC and LPC parameters obt ained from the production of an open vowel by 252 subjects with or without laryngeal diseases. Using a statistical procedure through the artificial neural networks, we attempted to differentiate laryngeal disease groups. Results showed that the LPC parameters indicated the highest differentiating rate by the networks followed by the MFCC and the MDVP parameters. In addition, Jita, Shim and NHR among the MDVP parameters came out better parameters in diagnosing laryngeal diseases.
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